Google Trends Scraper — Real-Time Trends

Google Trends Scraper — Real-Time Trends

Google Trends Scraper extracts structured Google Trends records, metadata, metrics, and direct links in real time. Built on a zero-browser HTTP/2 engine running in 256 MB RAM, it delivers normalized datasets with zero null fields ready for CSV, Excel, JSON, or API pipelines.

Looking for related scrapers? Check out Google Autocomplete & SEO Scraper, Google Maps Scraper, Google Search Scraper, Google News Scraper, or browse our full catalog of 118+ dedicated scrapers.

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What does Google Trends Scraper do?

Ultra-fast Google Trends scraper without browser overhead. Extract search interest over time, rising & top related queries (+5000% breako.... Compatible Make.com, Zapier, n8n, Sheets & Webhooks. 256MB RAM & sub-second speed.

Whether you need to monitor Google Trends at scale, enrich B2B/B2C databases, or feed structured records into analytics and AI workflows, Google Trends Scraper handles pagination, field normalization, and schema validation automatically:

• Bulk Data Extraction: Collect Google Trends listings, items, and detailed attributes in batches using keywords, filters, or direct URLs.
• Complete Public Metadata: Capture identifiers, pricing/engagement metrics, author/vendor details, timestamps, and canonical URLs.
• Multi-Format Export: Download results in JSON, CSV, Excel (XLSX), XML, or HTML Table directly from the Apify Console.
• Ready for Automation & AI: Connect seamlessly to Apify Integrations (Make, Zapier, n8n, Google Sheets), REST API endpoints, or the Apify MCP Server.

Beyond the Official Google Trends API

• No API Keys or Approval Delays: Start extracting public Google Trends data immediately without registering developer apps or waiting for quota approvals.
• No Restrictive Rate Quotas: Bypass strict per-minute API limits and expensive enterprise tiers while capturing the complete public data points displayed on Google Trends.
• 256 MB Zero-Browser Architecture: Uses native HTTP/2 and TLS session emulation instead of heavy Chromium instances, executing in seconds at a fraction of standard compute costs.

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What data can you scrape from Google Trends?

Google Trends Scraper extracts the following data points from Google Trends:

📝 Mode (mode)	📝 Search Terms (searchTerms)	📅 Time Range (timeRange)
📝 Geo (geo)	🏷️ Type (type)	📝 Keyword (keyword)
📝 Query (query)	💰 Peak Interest Value (peakInterestValue)	📅 Peak Interest Date (peakInterestDate)
💰 Average Interest Value (averageInterestValue)	📝 Top Queries Count (topQueriesCount)	📝 Rising Queries Count (risingQueriesCount)

Data Category	Extracted Fields & Data Points
Identity & Core Identifiers	type (Type)
Metrics, Pricing & Engagement	topQueriesCount (Top Queries Count), risingQueriesCount (Rising Queries Count), articlesCount (Articles Count)
Details, Attributes & Context	mode (Mode), searchTerms (Search Terms), geo (Geo), keyword (Keyword), query (Query), peakInterestValue (Peak Interest Value)
Direct Links, Media & Timestamps	timeRange (Time Range), peakInterestDate (Peak Interest Date), timeline (Timeline), formattedTraffic (Formatted Traffic), scrapedAt (Scraped At)

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Why scrape Google Trends? (Typical Use Cases & Guides)

You can use Google Trends Scraper for a wide range of data and business workflows:

• Trend Prediction & Dropshipping: Spot viral consumer products and search spikes before competitors.
• Content Strategy & SEO: Identify breakout topics to write about before keyword difficulty climbs.
• Financial Market Sentiment: Correlate search spikes with crypto and stock price volatility.
• AI Agents, RAG & LLM Knowledge Pipelines: Stream clean, structured Google Trends JSON records into vector databases, Claude, GPT-4, or LangChain workflows.
• Automated BI Dashboards & Scheduled Alerts: Schedule daily or hourly runs and push live Google Trends updates directly to Google Sheets, Looker Studio, Slack, or webhooks.
• Market Research & Competitor Analysis: Benchmark Google Trends offerings, pricing strategies, and market share across regions.
• Lead Generation & CRM Enrichment: Build targeted prospect lists and sync verified records straight into HubSpot, Salesforce, or Clay.
• AI Agents & RAG Pipelines via MCP: Connect live Google Trends data directly to Claude Desktop, Cursor, or LangChain agents.

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How to scrape Google Trends data

Google Trends Scraper is designed for a zero-configuration start, even if you have never scraped data before:

1. Create a free Apify account using your email (includes $5.00 in free monthly credits).
2. Open Google Trends Scraper and click on the Input tab — all required fields are already pre-filled with a working example.
3. Enter your search terms, target URLs, or filter criteria (or keep the default pre-filled configuration for an instant 1-Click test).
4. Click the green "Start" button and wait a few seconds for the data to be extracted.
5. Download your dataset in JSON, CSV, Excel (XLSX), or HTML, or fetch it via the API tab.

For more technical details on every parameter, check out the Input Schema tab or read the Apify Platform Documentation.

🔗 How to scrape Google Trends by Search Term or Direct URL

Scraping by Search Term / Filter 🔑	Enter keywords, categories, or filter parameters just as you would search on Google Trends. Set the maximum number of items you want to extract and click Start.
Scraping by Direct URL 🔗	Paste one or more direct Google Trends links (or import a list of URLs from a Google Sheet / CSV) to extract targeted item or profile details in bulk.

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⬇️ Input Configuration & Examples

To start scraping Google Trends, fill in the visual input form in the Apify Console or pass a JSON payload via the API. Full technical specifications are available on the Input Schema tab.

Input Parameters Reference

Parameter	Type	Default / Prefill	Description
mode	string	interestOverTime	Choose between Interest Over Time (historical volume timeline), Related Queries (top & rising breakout keywords), or Daily Trending (real-time news and viral topics by country). Options: interestOverTime, relatedQueries, dailyTrending.
searchTerms	array	["artificial intelligence","bitcoin"]	Keywords to analyze on Google Trends (e.g. ['artificial intelligence', 'bitcoin']). Used in 'interestOverTime' and 'relatedQueries' modes.
timeRange	string	today 12-m	Historical time horizon for search interest analysis. Options: now 1-H, now 1-d, now 7-d, today 1-m, today 3-m, today 12-m.
geo	string	US	Two-letter country code (ISO-3166) or leave blank for Worldwide (e.g. 'US', 'GB', 'FR', 'DE', 'IN', 'JP').
category	integer	0	Google Trends Category ID (0 for All Categories, 7 for Finance, 18 for Shopping, 314 for Computer & Electronics, etc.).
proxyConfiguration	object	—	Apify Proxy settings (Residential or Datacenter).

Example 1: Standard Extraction (1-Click Default)

{
  "mode": "interestOverTime",
  "searchTerms": [
    "artificial intelligence",
    "bitcoin"
  ],
  "timeRange": "today 12-m",
  "geo": "US"
}

Example 2: Filtered & Batch Extraction

{
  "mode": "relatedQueries",
  "searchTerms": [
    "artificial intelligence",
    "bitcoin"
  ],
  "timeRange": "now 1-d",
  "geo": "US",
  "category": 0
}

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⬆️ Output Example (Table View, JSON & Fields Reference)

The scraped results are stored in a structured Apify Dataset available in the Storage tab. Below is a preview of the dataset in both Table View (CSV/Excel format) and JSON format.

Table View (CSV / Excel Dataset Preview)

Mode	Search Terms	Time Range	Geo
interestOverTime	artificial intelligence	today 12-m	US
interestOverTime	artificial intelligence	today 12-m	US
interestOverTime	artificial intelligence	today 12-m	US

JSON Output Example

{
  "mode": "interestOverTime",
  "searchTerms": [
    "artificial intelligence",
    "bitcoin"
  ],
  "timeRange": "today 12-m",
  "geo": "US"
}

Output Fields Reference

Field Name	Type	Description
mode	string	Extracted mode value.
searchTerms	array	Extracted search terms value.
timeRange	string	Time frame analyzed
geo	string	Geographic country or region code
type	string	Scraping mode: interestOverTime, relatedQueries, or dailyTrending
keyword	string	Search term or trending topic
query	string	Search query
peakInterestValue	number	Peak search interest score (0-100)
peakInterestDate	string	Date or time of peak interest
averageInterestValue	number	Average interest over the period
topQueriesCount	integer	Extracted top queries count value.
risingQueriesCount	integer	Extracted rising queries count value.
topQueries	array	Extracted top queries value.
risingQueries	array	Extracted rising queries value.
timeline	array	Extracted timeline value.
formattedTraffic	string	Extracted formatted traffic value.
articlesCount	integer	Extracted articles count value.
articles	array	Extracted articles value.
scrapedAt	string	Extracted scraped at value.

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🔗 Scrape any data you need with dedicated scrapers

Combine Google Trends Scraper with our other dedicated scrapers from @RBBscrap if you want to extract specialized data across platforms:

🔹 Google Autocomplete & SEO Scraper	🔹 Google Maps Scraper	🔹 Google Search Scraper
🔹 Google News Scraper	🔹 Google Play Scraper	🔹 Google Patents Scraper

Scraper	Extracted Data & Primary Use Case
Google Autocomplete & SEO Scraper	Search Ideas
Google Maps Scraper	Places, Leads & Emails
Google Search Scraper	SERP & People Also Ask
Google News Scraper	Global Headlines & PR
Google Play Scraper	Apps, Installs & Reviews
Google Patents Scraper	Prior Art & Claims

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⚠️ Error Items & Resilience Reference

Google Trends Scraper is engineered to process multi-query and batch runs resiliently without crashing if a single query or URL fails:

Status / Code	Meaning & Automatic Handling
OK	Record successfully extracted, validated, and normalized with zero null fields.
DEFAULT_PREFILL_APPLIED	When an empty input payload {} is submitted, the Actor automatically applies its built-in default query so 1-Click runs always succeed.
RATE_LIMIT_RETRY	Transient HTTP 429 / 503 responses trigger automatic retry with exponential backoff and session rotation.
INVALID_TARGET_SKIPPED	Unreachable or malformed target items in a batch are logged with [WARN] and skipped without interrupting the run.

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❓ Frequently Asked Questions (FAQ)

How much does scraping Google Trends cost?

Google Trends Scraper uses transparent Pay-Per-Event (PAY_PER_EVENT) pricing set 10x cheaper than the market leader ($\div 10$):

• Event Rate: $0.0003 per Scraped Google Trends Scraper Record ($0.3 per 1,000 items).
• 🎁 1st Run 100% FREE: Your very first execution is 100% free ($0.00 event charges are applied on your initial run).
• Apify Free Plan ($5.00/month included): Every Apify account receives $5.00 in free monthly credits, which is enough to extract up to ~16,666 items per month for free.
• View full details on the Pricing tab and the Apify Pricing page.

Can I integrate Google Trends Scraper with Make, Zapier, n8n, or Google Sheets?

Yes. Google Trends Scraper can be connected with almost any cloud service or web app thanks to integrations on the Apify platform, including Make, Zapier, n8n, Slack, Airbyte, Google Sheets, Google Drive, and webhooks.

Can I use Google Trends Scraper with the Apify API (Python & Node.js)?

Yes. The Apify API gives you programmatic access to run Google Trends Scraper, schedule jobs, and fetch datasets. Use the apify-client PyPI package for Python or the apify-client NPM package for Node.js, or check the Apify API Reference:

Python (apify-client)

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_API_TOKEN")

run = client.actor("rbbscrap/google-trends-scraper").call(run_input={
    "mode": "interestOverTime",
    "searchTerms": ["artificial intelligence","bitcoin"],
    "timeRange": "today 12-m",
    "geo": "US"
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

Node.js (apify-client)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_API_TOKEN' });

const run = await client.actor('rbbscrap/google-trends-scraper').call({
    mode: "interestOverTime",
    searchTerms: ["artificial intelligence","bitcoin"],
    timeRange: "today 12-m",
    geo: "US"
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Can I use Google Trends Scraper through an MCP Server (Claude Desktop, Cursor, AI Agents)?

Yes. With the Apify API, you can use Google Trends Scraper in conjunction with an MCP server to connect directly to Claude Desktop, Cursor, Windsurf, or LibreChat. Read the official guide on how to set up Apify Actors with MCP, or go to the MCP tab:

1. Start a Server-Sent Events (SSE) session to receive a sessionId.
2. Send API messages using that sessionId to trigger Google Trends Scraper with your input parameters.
3. Receive structured Google Trends dataset records directly inside your AI agent conversation.

Do I need residential proxies or login cookies to scrape Google Trends?

No. Google Trends Scraper operates on a zero-browser HTTP/2 protocol engine (256 MB RAM) and works out-of-the-box without requiring login cookies or external proxies for standard workloads. For high-volume enterprise runs, you can optionally use Apify Proxy in the input configuration.

Is it legal to scrape data from Google Trends?

Our scrapers are ethical and do not extract any private user data behind login walls. They only extract what is shared publicly on the web. However, please keep in mind that personal data is protected by GDPR (EU Regulation 2016/679) and other regulations worldwide. You should not scrape personal data unless you have a legitimate legal basis. Read more in Apify's guide on the legality of web scraping.

Your feedback & support

We are continuously improving the performance of our Actors. If you have any technical feedback for Google Trends Scraper, need a custom feature, or found a bug, please create an issue on the Actor's Issues tab in the Apify Console.